ArticleInternational journal of health geographics2011
Spatial epidemiology and spatial ecology study of worldwide drug-resistant tuberculosis.
Article in International journal of health geographics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
- Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis.PloS one · 2015Trial
- Predicting the geographical distribution of drug use disorder in Sweden from the geographical variation in social deprivation, genetic risk and urbanization.Molecular psychiatry · 2026Article
- Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs.Scientific reports · 2024Article
- A Spatial Analysis of Tuberculosis Related Mortality in South Africa.International journal of environmental research and public health · 2021Article
- Short-term Effect of Air Pollution on Tuberculosis Based on Kriged Data: A Time-series Analysis.International journal of environmental research and public health · 2020Article
- Spatial relationships between small-holder farms coupled with livestock management practices are correlated with the distribution of antibiotic resistant bacteria in northern Tanzania.One health (Amsterdam, Netherlands) · 2019Article
- Risk factors for multidrug-resistant tuberculosis among tuberculosis patients in Serbia: a case-control study.BMC public health · 2018Article
- Areas with evidence of equity and their progress on mortality from tuberculosis in an endemic municipality of southeast Brazil.Infectious diseases of poverty · 2017Article
- Article
- Spatial and temporal analysis of tuberculosis in Zhejiang Province, China, 2009-2012.Infectious diseases of poverty · 2016Article
- A spatial, social and environmental study of tuberculosis in China using statistical and GIS technology.International journal of environmental research and public health · 2015Article
- Association between Multidrug-Resistant Tuberculosis and Risk Factors in China: Applying Partial Least Squares Path Modeling.PloS one · 2015Article
- Spatial Prevalence of Intellectual Disability and Related Socio-Demographic Factors in Iran, Using GWR: Case Study (2006).International journal of preventive medicine · 2014Article
- Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China.Global health action · 2014Article
- Article
- Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison of global and local modeling approaches.International journal of health geographics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug-resistant tuberculosis (DR-TB) is a major public health problem caused by various factors. It is essential to systematically investigate the epidemiological and, in particular, the ecological factors of DR-TB for its prevention and control. Studies of the ecological factors can provide information on etiology, and assist in the effective prevention and control of disease. So it is of great significance for public health to explore the ecological factors of DR-TB, which can provide guidance for formulating regional prevention and control strategies.
methodsAnti-TB drug resistance data were obtained from the World Health Organization/International Union Against Tuberculosis and Lung Disease (WHO/UNION) Global Project on Anti-Tuberculosis Drug Resistance Surveillance, and data on ecological factors were collected to explore the ecological factors for DR-TB. Partial least square path modeling (PLS-PM), in combination with ordinary least squares (OLS) regression, as well as geographically weighted regression (GWR), were used to build a global and local spatial regression model between the latent synthetic DR-TB factor ("DR-TB") and latent synthetic risk factors.
resultsOLS regression and PLS-PM indicated a significant globally linear spatial association between "DR-TB" and its latent synthetic risk factors. However, the GWR model showed marked spatial variability across the study regions. The "TB Epidemic", "Health Service" and "DOTS (directly-observed treatment strategy) Effect" factors were all positively related to "DR-TB" in most regions of the world, while "Health Expenditure" and "Temperature" factors were negatively related in most areas of the world, and the "Humidity" factor had a negative influence on "DR-TB" in all regions of the world.
conclusionsIn summary, the influences of the latent synthetic risk factors on DR-TB presented spatial variability. We should formulate regional DR-TB monitoring planning and prevention and control strategies, based on the spatial characteristics of the latent synthetic risk factors and spatial variability of the local relationship between DR-TB and latent synthetic risk factors.
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